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  1. 221

    The impact of weather factors on operation of radiation heating system by V. I. Karagusov, I. S. Kolpakov

    Published 2019-04-01
    “…The work of radiation panels is affected by a number of weather factors such as cloudiness, temperature and humidity of atmospheric air, precipitation, fog, season of year and day, sun position angles and inclination angles of solar panels. …”
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    Article
  2. 222

    Post-COVID-19 conditions and health effects in Africa: a scoping review by Mustapha Amoadu, Promise Kwame Salu, David N Banaaleh, Edward W Ansah, Martin S Daanko

    Published 2025-01-01
    “…Fatigue, dyspnoea and brain fog were among the commonly reported symptoms of post–COVID-19 conditions. …”
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    Article
  3. 223

    A Supporting Design Method When Longwall FaceStrides across and Passes through a Roadway by Weidong Pan, Xinyuan Li, YiWei Li, Xiaobin Li, Qing Qiao, Haoran Gong

    Published 2020-01-01
    “…Therefore, the possibility of fall of ground (FOG) and crushing accidents can be reduced effectively with backfilling material of wood cribs. …”
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  4. 224

    Spatiotemporal clusters of acute respiratory infections associated with socioeconomic, meteorological, and air pollution factors in South Punjab, Pakistan by Munazza Fatima, Ibtisam Butt, Shahab MohammadEbrahimi, Behzad Kiani, Oliver Gruebner

    Published 2025-02-01
    “…The results obtained from the season-based GLM highlighted the significance of climatic factors (temperature, fog, dust storms) and air pollutants (NO2) in influencing ARI incidence, while socio-economic variables (rural population, literacy) had limited impact. …”
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    Article
  5. 225

    Infrared Image Enhancement: A Review by Qingwang Wang, Pengcheng Jin, Yuhang Wu, Liyao Zhou, Tao Shen

    Published 2025-01-01
    “…Under special conditions such as night, rain, and fog, visible light imaging technology often performs poorly, while radar and other imaging technologies are limited due to their high costs. …”
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    Article
  6. 226

    Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

    Published 2023-09-01
    “…To support the Internet of Things, technologies such as built-in devices, cloud and fog computing, big data processing, machine learning, and artificial intelligence are used to produce intelligent physical objects. …”
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    Article
  7. 227

    Readability and understandability of clinical research patient information leaflets and consent forms in Ireland and the UK: a retrospective quantitative analysis by Peter Doran, Eilish McAuliffe, Lydia O'Sullivan, Prasanth Sukumar, Rachel Crowley

    Published 2020-09-01
    “…The second aim was to compare these findings with best practice guidelines.Design Retrospective, quantitative analysis of clinical research PILs/ICFs provided by academic institutions, pharmaceutical companies and investigators.Setting PILs/ICFs which had received Research Ethics Committee approval in the last 5 years were collected from Ireland and the UK.Intervention Not applicable.Main outcome measures PILs/ICFs were evaluated against seven validated readability criteria (Flesch Reading Ease, Flesh Kincaid Grade Level, Simplified Measure of Gobbledegook, Gunning Fog, Fry, Raygor and New Dale Chall). The documents were also scored according to two health literacy-based criteria: the Clear Communication Index (CCI) and the Suitability Assessment of Materials tool. …”
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  8. 228

    Association of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C) by Jane E B Reusch, Rachel Wong, Nasia Safdar, Harold Lehmann, Brijesh Patel, Til Stürmer, Hongfang Liu, Peter Robinson, Elaine Hill, Richard Moffitt, Justin Guinney, Joel Gagnier, Cavin Ward-Caviness, Noha Sharafeldin, Justin Starren, Amit Saha, Lesley Cottrell, Melissa A Haendel, Margaret A Hall, Vignesh Subbian, Kristin Kostka, Farrukh M Koraishy, Andrew E Williams, Robert Hurley, Steve Johnson, Usman Sheikh, Rishi Kamaleswaran, Christopher Dillon, Michele Morris, Randeep Jawa, Hemalkumar Mehta, Benjamin Bates, Tellen D Bennett, Nabeel Qureshi, Katie Rebecca Bradwell, Federico Mariona, Adam B Wilcox, Adam M Lee, Alexis Graves, Amin Manna, Amy Olex, Andrea Zhou, Andrew Southerland, Andrew T Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin Amor, Brian Hendricks, Caleb Alexander, Carolyn Bramante, Charisse Madlock-Brown, Christine Suver, Christopher Chute, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A Eichmann, Diego Mazzotti, Eilis Boudreau Don Brown, Elizabeth Zampino, Emily Carlson Marti, Emily R Pfaff, Evan French, Fred Prior, George Sokos, Greg Martin, Heidi Spratt, Hythem Sidky, JW Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel H Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol Mathew, Joni L Rutter, Julie A McMurry, Karen Crowley, Kellie M Walters, Ken Wilkins, Kenneth R Gersing, Kenrick Dwain Cato, Kimberly Murray, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lili Portilla, Mariam Deacy, Mark M Bissell, Marshall Clark, Mary Emmett, Mary Morrison Saltz, Matvey B Palchuk, Meredith Adams, Meredith Temple-O'Connor, Michael G Kurilla, Nicole Garbarini, Ofer Sadan, Patricia A Francis, Penny Wung Burgoon, Rafael Fuentes, Rebecca Erwin-Cohen, Richard A Moffitt, Richard L Zhu, Robert T Miller, Saiju Pyarajan, Sam G Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, T Shawn, Soko Setoguchi O'Neil, Stephanie S Hong, Tiffany Callahan, Umit Topaloglu, Valery Gordon, Warren A Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang, Samuel Soff, Yun Jae Yoo, Jared Davis Huling, Daniel Brannock, Zachary Butzin-Dozier, Alfred Jerrod Anzalone, Philip RO. Payne, Rena Patel

    Published 2025-02-01
    “…Symptoms were identified as keywords from clinical notes using NLP in respiratory, brain fog, fatigue, loss of smell/taste, cough, cardiovascular and musculoskeletal symptom categories. …”
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  9. 229

    The analysis of thermal performance of radiation life support system based on experimental data by V. I. Karagusov, A. V. Zinovieva

    Published 2024-03-01
    “…., a significant part of them, such as fog, haze, dew, shadow from each cloud affects the amount of insolation and all this cannot be taken into account in advance. …”
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  10. 230

    Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain by Erkan Ozduran, Volkan Hancı, Yüksel Erkin, İlhan Celil Özbek, Vugar Abdulkerimov

    Published 2025-01-01
    “…The readability of the responses given was determined with the Simple Measure of Gobbledygook (SMOG), Flesch Reading Ease Score (FRES) and Gunning Fog (GFG) readability scores. Quality was assessed using the Global Quality Score (GQS) and the Ensuring Quality Information for Patients (EQIP) score. …”
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  11. 231

    Spatial behavior of mesocarnivores living in seasonal ecosystems: A case study in arid landscapes in northern-central Chile by Darío Moreira-Arce, Pablo M. Vergara, Alex Oporto, Alberto J. Alaniz, Claudia Hidalgo-Corrotea, Alfredo H. Zúñiga, Alejo Gutiérrez, Sebastián Moreno, Daniela Araya, Simone Ciuti

    Published 2025-01-01
    “…One example is the South American grey fox (Lycalopex griseus), a mesocarnivore that inhabits north-central Chile, an arid region under increasing human presence and where coastal fog is an important but variable source of moisture. …”
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  12. 232

    Bevezetés „A tudat aspektusai” című tematikus rovat elé by Bence Marosán

    Published 2022-10-01
    “…A blokkban szereplő valamennyi írás révén az olvasó olyan új információkkal gazdagodik a vizsgált terület vagy téma vonatkozásában, amelyekkel korábban nem rendelkezett, amelyek révén maga is tisztábban és világosabban fog látni az elemzett problémák, szerzők tekintetében. [...] …”
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  13. 233

    Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

    Published 2025-02-01
    “…Simulations using real-world IoT data on the iFogSim platform showed significant improvements: task scheduling time was reduced by 21%, operational costs by 17%, and energy consumption by 22%. …”
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  14. 234

    Chronic inflammation in post-acute sequelae of COVID-19 modulates gut microbiome: a review of literature on COVID-19 sequelae and gut dysbiosis by Najeeha Talat Iqbal, Hana Khan, Aqsa Khalid, Syed Faisal Mahmood, Nosheen Nasir, Iffat Khanum, Isadora de Siqueira, Wes Van Voorhis

    Published 2025-01-01
    “…Most studies define Long COVID, through symptoms like fatigue, brain fog, joint pain, and headache prevailing four or more weeks post-initial infection. …”
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  15. 235

    Western disturbances and climate variability: a review of recent developments by K. M. R. Hunt, K. M. R. Hunt, J.-P. Baudouin, A. G. Turner, A. G. Turner, A. P. Dimri, A. P. Dimri, G. Jeelani, Pooja, R. Chattopadhyay, R. Chattopadhyay, F. Cannon, T. Arulalan, T. Arulalan, M. S. Shekhar, T. P. Sabin, E. Palazzi

    Published 2025-01-01
    “…WDs are also associated with weather hazards such as heavy snowfall, hailstorms, fog, cloudbursts, avalanches, frost, and cold waves.…”
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  16. 236

    A dehazing and enhancement algorithm for heterogeneous images of underground mining environments in coal mines by Xuhui ZHANG, Yanbin XIE, Wenjuan YANG, Chao ZHANG, Jicheng WAN, Zheng DONG, Yanqun WANG, Jie JIANG, Long LI

    Published 2025-01-01
    “…The results indicate that compared to the above novel and excellent algorithms in terms of their optimal indicators, the proposed algorithm exhibited that: (1) The average gradients were approximately twice those obtained by CEEF, suggesting elevated image clarity. (2) The average information entropy decreased by approximately 1% compared to that of MRP, implying more information preserved. (3) The standard deviation increased by approximately 6% on average compared to OSFD, representing improved image contrast. (4) The average fog aware density evaluator (FADE) value by approximately 23% compared to CEEF, implying an effective reduction in the haze Therefore, the proposed algorithm can effectively improve the visual effects and quality of blurred images of underground mining environments in coal mines, exhibiting high utility in engineering.…”
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  17. 237
  18. 238

    Technologies for Interoperable Internet of Medical Things Platforms to Manage Medical Emergencies in Home and Prehospital Care: Scoping Review by Mattias Seth, Hoor Jalo, Åsa Högstedt, Otto Medin, Bengt Arne Sjöqvist, Stefan Candefjord

    Published 2025-01-01
    “…Message queuing telemetry transport (MQTT; 7/30, 23%) and WebSocket (7/30, 23%) were commonly used for real-time emergency alerts, while fog and edge computing were often combined with cloud computing for enhanced processing power and reduced latencies. …”
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  19. 239

    Health-related adverse work outcomes associated with post COVID-19 condition: a cross-sectional study by Peter M Smith, Hind Sbihi, Wei Zhang, Adeera Levin, Naveed Z Janjua, Hiten Naik, Bingyue Zhu, Lee Er, Karen Tran

    Published 2025-02-01
    “…The risk of a health-related adverse work outcome was especially high in those with post-COVID-19 fatigue (aOR 4.6 (95% CI 2.7 to 7.9)), fever (aOR 4.0 (95% CI 1.7 to 9.6)), weakness (aOR 3.8 (95% CI 2.2 to 6.3)), palpitations (aOR 3.3 (95% CI 2.0 to 5.0)) and brain fog (aOR 3.2 (95% CI 2.0 to 5.0)).Conclusions PCC is associated with health-related adverse work outcomes. …”
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  20. 240

    Eye Collateral Channel Characteristic Analysis and Identification Model Construction of Mild Cognitive Impairment by WU Tiecheng, CAO Lei, YIN Lianhua, HE Youze, LIU Zhizhen, YANG Minguang, XU Ying, WU Jinsong

    Published 2024-02-01
    “…By comparing the model performance, the optimal model was selected to achieve early clinical recognition.ResultsThe important eye collateral channel characteristics of the MCI group were red dots, dull brown spots, dull yellow fog diffusion, mounds, red blood veins, and tortuous blood veins (<italic>P</italic>&lt;0.05), their distribution frequency was higher than that of the normal cognition group (<italic>P</italic>&lt;0.05), but the distribution frequency of dull pink spots was lower than that of the normal cognition group (<italic>P</italic>&lt;0.05). …”
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